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Data Provenance in Agriculture

  • Sérgio Manuel Serra da CruzEmail author
  • Marcos Bacis Ceddia
  • Renan Carvalho Tàvora Miranda
  • Gabriel Rizzo
  • Filipe Klinger
  • Renato Cerceau
  • Ricardo Mesquita
  • Ricardo Cerceau
  • Elton Carneiro Marinho
  • Eber Assis Schmitz
  • Elaine Sigette
  • Pedro Vieira Cruz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11017)

Abstract

Soils are probably the most critical natural resource in Agriculture, and soils security represents a critical growing global issue. Soils experiments require vast amounts of high-quality data, are very hard to be reproduced, and there are few studies about data provenance of such tests. We present OpenSoils; it shares knowledge about data-centric soils experiments. OpenSoils is a provenance-oriented and lightweight e-infrastructure that collects, stores, describes, curates and, harmonizes various soil datasets.

Keywords

Reproducibility Soil security Open data Data quality Big data 

Notes

Acknowledgments

This work was supported in part by the Brazilian agencies FNDE/MEC/SESU, PIBIC/CNPq, Petrobras and CYTED networks BigDSSAgro and SmartLogistcs@IB.

References

  1. 1.
    Koch, A., et al.: Soil security: solving the global soil crisis. Glob. Policy 4(4), 434–441 (2013)CrossRefGoogle Scholar
  2. 2.
    Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016)CrossRefGoogle Scholar
  3. 3.
    Körschens, M.: The importance of long-term field experiments for soil science and environmental research – a review. Plant Soil Environ. 52, 1–8 (2006)CrossRefGoogle Scholar
  4. 4.
    Cruz, S.M.S., do Nascimento, J.A.P.: SisGExp: rethinking long-tail agronomic experiments. In: Mattoso, M., Glavic, B. (eds.) IPAW 2016. LNCS, vol. 9672, pp. 214–217. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-40593-3_24CrossRefGoogle Scholar
  5. 5.
    Cruz, S.M.S., et al.: Towards an e-infrastructure for open science in soils security. In: XII Proceedings on Brazilian E-Science Workshop (BRESCI), pp. 59–66. SBC, Natal-RN (2018)Google Scholar
  6. 6.
    Rizzo, G.S.C., Ceddia, M.B., Cruz, S.M.S.: Banco de Dados Pedológico: Primeiros Estudos. In: 5th Proceedings on Reunião Anual de Iniciação Científica (RAIC), pp. 1–2. UFRRJ, Seropédica (2017). (in Portuguese)Google Scholar
  7. 7.
    Caracciolo, C., et al.: The AGROVOC linked dataset. Seman. Web 4(3), 341–348 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Federal Rural University of Rio de JaneiroSeropédicaBrazil
  2. 2.National Agency of Supplementary HealthRio de JaneiroBrazil
  3. 3.Federal Fluminense UniversityVolta RedondaBrazil
  4. 4.SENAI-RJRio de JaneiroBrazil
  5. 5.Federal University of Rio de JaneiroCidade UniversitáriaBrazil

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